{"id":"W2964714837","doi":"10.1007/s10888-019-09428-4","title":"Losing ground in the income hierarchy: relative deprivation revisited","year":2019,"lang":"en","type":"article","venue":"The Journal of Economic Inequality","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Fonds National de la Recherche Luxembourg","keywords":"Planner; Social planner; Hierarchy; Relative deprivation; Value (mathematics); Generalization; Economics; Income distribution; Relative value; Interpretation (philosophy); Distribution (mathematics); Public finance; Yesterday; Econometrics; Public economics; Mathematical economics; Microeconomics; Mathematics; Statistics; Computer science; Sociology; Inequality; Social science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02123358,0.0001081545,0.0003077567,0.00009941875,0.0003143979,0.00009105384,0.0007013747,0.00009192034,0.0002480285],"category_scores_gemma":[0.0006157031,0.00006525552,0.0001210508,0.0002023639,0.0001738128,0.0009571894,0.00005683071,0.0005212689,0.00007161068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006364661,"about_ca_system_score_gemma":0.0002370709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00275101,"about_ca_topic_score_gemma":0.0008273206,"domain_scores_codex":[0.9953434,0.003114387,0.0008914472,0.0001081283,0.0002883962,0.0002541914],"domain_scores_gemma":[0.9969843,0.001663792,0.0008768327,0.0003203521,0.000108604,0.00004611814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0003588655,0.0001065253,0.3228372,0.00004454387,0.00008051599,0.00000374767,0.09845461,0.0003175347,0.0001648722,0.5756687,0.0004247999,0.001538123],"study_design_scores_gemma":[0.001333022,0.0002052619,0.7172767,0.0001647322,0.00005550039,0.00001623525,0.017669,0.0003970872,0.00007520343,0.2525408,0.009966896,0.0002996283],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.971367,0.0001249715,0.0002349701,0.003504243,0.0004352119,0.0002632821,0.000005120579,0.000006357939,0.02405886],"genre_scores_gemma":[0.9982141,0.0001569423,0.00006225183,0.0008859484,0.0005210006,9.894702e-7,0.00000174529,0.000006806991,0.000150196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3944395,"threshold_uncertainty_score":0.7359179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05384651878439721,"score_gpt":0.3353593643608707,"score_spread":0.2815128455764734,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}